Machine Learning Engineer - Build Scalable AI Pipelines

Venture Global LNG; Virginia (MN); On-site; USD 157,000 - 185,000; Full time

Job summary

Venture Global LNG is seeking a Machine Learning Engineer to design, develop, and productionize ML, DL, generative AI, LLMs, simulation, and optimization algorithms. You will build pipelines for training and deploying models, enabling efficient in-production execution with Databricks and PySpark.

The ideal candidate has strong technical skills, a self-driven mindset, and a commitment to continuous learning.

Qualifications

• 5 years of machine learning engineering, software engineering, or data science experience.
• Bachelor's degree in a quantitative field is required.
• Master's degree in a quantitative field is preferred.

Responsibilities

• Work with business stakeholders to define project requirements.
• Orchestrate, scale, setup and improve model serving pipelines.
• Improve model accuracy through feature engineering, tuning, and observability.
• Improve model computational performance through pipeline optimization.
• Integrate machine learning models into production environments for reliability and scalability.
• Evaluate pretrained models and vendor software for production use.
• Develop project plans for ML/AI projects including architectures and resources.
• Provide ETL requirements to data engineers for data analytics.
• Collaborate with data scientists, data engineers, and business analysts to translate requirements into ML solutions.
• Build maintainable, scalable software with measurable business value.
• Focus on quality architecture and code, and manage technical debt.

Skills

Machine Learning

Software Engineering

Data Science

Python

Scala

SQL

Education

Bachelor's in a quantitative field

Master's in a quantitative field

Tools

Databricks

Unity Catalog

Git

Azure

AWS

CI/CD Pipelines

Job description

Venture Global LNG is seeking a Machine Learning Engineer to design, develop, and productionize ML, DL, generative AI, LLMs, simulation, and optimization algorithms. You will build pipelines for training and deploying models, enabling efficient in-production execution with Databricks and PySpark.

The ideal candidate has strong technical skills, a self-driven mindset, and a commitment to continuous learning.